Christian Steinruecken

Name:	Christian Steinruecken
Affiliation:	University of Cambridge
E-mail:	(only provided to users who are logged into talks.cam)
Last login:	Thu Mar 01 00:20:23 +0000 2018

Public lists managed by Christian Steinruecken

• Inference Group
• Machine Learning
• Machine Learning @ CUED
• Machine Learning Journal Club
• Machine Learning Summary

Talks given by Christian Steinruecken

Obviously this only lists talks that are listed through talks.cam. Furthermore, this facility only works if the speaker's e-mail was specified in a talk. Most talks have not done this.

• Information Theory, Codes, and Compression
• Logic, Theorem Proving, and Probabilistic Programming
• Compressing Text - A new approach
• Functional Programming
• Advanced Sampling
• CRH: a Central Reference Handling system
• A New Machine Learning Library
• Learning and generating techno music: a machine learning approach
• The Multiscale Composite Dirichlet Process and its applications
• Research adventures in Japan
• 研究の紹介
• Learning Logical Relations
• The Mondrian Process
• Inference in Models with Latent Hierarchies
• More NIPS highlights
• Object-Attribute Models
• Hierarchical Clustering
• Combining Causal and Similarity-based reasoning
• Knowledge Compilation
• Probabilities, Complexities and Game Semantics
• Graphical Combinator Programming
• Uncertainty Logic

Talks organised by Christian Steinruecken

This list is based on what was entered into the 'organiser' field in a talk. It may not mean that Christian Steinruecken actually organised the talk, they may have been responsible only for entering the talk into the talks.cam system.

• Future technology: machine learning using memristors networks
• Future technology: machine learning using memristors networks
• Painless Parse Errors
• Object-Attribute Models
• Language Modelling Discussion
• Open Vocabulary Confusion Networks for Speech Recognition
• An Error-Correcting Keyboard
• Probabilities, Complexities and Game Semantics
• Learning and Stability in Random Sigma-Pi Networks
• Bayesian nonparametric latent feature models
• Logistic regression with a Laplacian prior on the singular values: convex duality and application to EEG classification.
• Monte Carlo Approaches to Game Playing
• Modeling text with Dirichlet compound multinomial distributions
• Learning from positive and unlabeled data
• Title to be confirmed
• Bayesian estimation of neuronal connectivity from MEA recordings
• Do Scanning Electron Microscopes have a point-spread function?